Towards inter-organizational Enterprise Architecture Management - Applicability of TOGAF 9.1 for Network Organizations

Network organizations and inter-organizational systems (IOS) have recently been the subjects of extensive research and practice. Various papers discuss technical issues as well as several complex business considerations and cultural issues. However, one interesting aspect of this context has only received adequate coverage so far, namely the ability of existing Enterprise Architecture Management (EAM) frameworks to address the diverse challenges of inter-organizational collaboration. The relevance of this question is grounded in the increasing significance of IOS and the insight that many organizations model their architecture using such frameworks. This paper addresses the question by firstly conducting a conceptual literature review in order to identify a set of challenges. An EAM framework was then chosen and its ability to address the challenges was evaluated. The chosen framework is The Open Group Architecture Framework (TOGAF) 9.1 and the analysis conducted with regard to the support of network organizations highlights which issues it deals with. TOGAF serves as a good basis to solve the challenges of “Process and Data Integration” and “Infrastructure and Application Integration”. Other areas such as the “Organization of the Network Organization” need further support. Both the identification of challenges and the analysis of TOGAF assist academics and practitioners alike to identify further research topics as well as to find documentation related to inter-organizational problems in EAM

Die mikrobiologische Besiedlung von Stimmprothesen: Eine retrospektive Analyse des Patientengutes der Klinik und Poliklinik für Hals-Nasen-Ohrenheilkunde, Kopf- und Halschirurgie „Otto Körner“ der Universität Rostock von Januar 1994 bis Juli 2004

In 10 Jahren wurden 428 Prothesen mit einer mittleren Liegedauer von 162 Tagen entfernt. Mikrobiologisch dominierten S. aureus, Klebsiella sp., Pseudomonas sp. und C. albicans sowie C. glabrata, C. krusei und C. tropicalis. Es zeigte sich eine im Vergleich häufigere Besiedlung der ESKA-Herrmann-Prothesen mit C. krusei, was durch die größere Speichelkontaktfläche begründet wird. Die Ausbildung eines Sättigungsplateaus der Bakterien- und Pilzartenvielfalt auf den Stimmprothesen ist zu erkennen, was mit dem limitierten Platzangebot zu begründen ist und bei ESKA-Herrmann-Modellen höher ausfällt.In a time of 10 years, 428 voice prostheses with a mean life time of 162 days were used. In the microbiological examination the dominating bacteria were S. aureus, Klebsiella sp. and Proteus sp. In addition C. albicans, C. glabrata, C. krusei and C. tropicalis were the main fungi on the silicone surface. The diversity of bacteria and fungi species showed a level of saturation on the surface which was higher on ESKA-Herrmann prostheses. This is caused by the limited space on the silicone prostheses. Thereby a more frequent colonisation with C. krusei on ESKA-Herrmann prostheses was measured

Towards inter-organizational Enterprise Architecture Management - Applicability of TOGAF 9.1 for Network Organizations Completed Research Paper

ABSTRACT Network organizations and inter-organizational systems (IOS) have recently been the subjects of extensive research and practice. Various papers discuss technical issues as well as several complex business considerations and cultural issues. However, one interesting aspect of this context has only received adequate coverage so far, namely the ability of existing Enterprise Architecture Management (EAM) frameworks to address the diverse challenges of inter-organizational collaboration. The relevance of this question is grounded in the increasing significance of IOS and the insight that many organizations model their architecture using such frameworks. This paper addresses the question by firstly conducting a conceptual literature review in order to identify a set of challenges. An EAM framework was then chosen and its ability to address the challenges was evaluated. The chosen framework is The Open Group Architecture Framework (TOGAF) 9.1 and the analysis conducted with regard to the support of network organizations highlights which issues it deals with. TOGAF serves as a good basis to solve the challenges of "Process and Data Integration" and "Infrastructure and Application Integration". Other areas such as the "Organization of the Network Organization" need further support. Both the identification of challenges and the analysis of TOGAF assist academics and practitioners alike to identify further research topics as well as to find documentation related to inter-organizational problems in EAM

Optical Technologies for Future Global Navigation Satellite Systems

Accurate, robust and reliable positioning and timing has become crucial for a wide spectrum of applications. New technologies will further improve the services offered by Global Navigation Satellite Systems (GNSSs). Optical technologies are promising candidates to achieve significant improvements in terms of accuracy, robustness and reliability of GNSSs in near future. First and foremost, optical inter-satellite links (OISLs) and optical clock technologies show enormous potential for future applications at the core of next generation GNSS architectures. Both technologies can be implemented independently from each other in current GNSS as the development lines may differ, in particular in terms of technology readiness. We will present different tracks on how optical key technologies could potentially be integrated in next generations of GNSS, and assess the corresponding improvements

Doxorubicin induces caspase-mediated proteolysis of KV7.1

Strigli A, Raab C, Hessler S, et al. Doxorubicin induces caspase-mediated proteolysis of KV7.1. Communications Biology. 2018;1(1): 155.Kv7.1 (KCNQ1) coassembles with KCNE1 to generate the cardiac IKs-channel. Gain- and loss-of-function mutations in KCNQ1 are associated with cardiac arrhthymias, highlighting the importance of modulating IKs activity for cardiac function. Here, we report proteolysis of Kv7.1 as an irreversible posttranslational modification. The identification of two C-terminal fragments of Kv7.1 led us to identify an aspartate critical for the generation of one of the fragments and caspases as responsible for mediating proteolysis. Activating caspases reduces Kv7.1/KCNE1 currents, which is abrogated in cells expressing caspase-resistant channels. Enhanced cleavage of Kv7.1 can be detected for the LQT mutation G460S, which is located adjacent to the cleavage site, whereas a calmodulin-binding-deficient mutation impairs cleavage. Application of apoptotic stimuli or doxorubicin-induced cardiotoxicity provokes caspase-mediated cleavage of endogenous IKs in human cardiomyocytes. In summary, caspases are novel regulatory components of IKs channels that may have important implications for the molecular mechanism of doxorubicin-induced cardiotoxicity

Towards a methodical framework for comprehensively assessing forest multifunctionality

Funded by Deutsche Forschungsgemeinschaft. Grant Number: DFG FOR 891/1-3 National Natural Science Foundation of China. Grant Numbers: 30710103907, 30930005, 31170457, 31210103910 Swiss National Science Foundation (SNSF) Sino-German Centre for Research Promotion in Beijing. Grant Number: GZ 986Peer reviewedPublisher PD

TRY plant trait database - enhanced coverage and open access

Plant traits-the morphological, anatomical, physiological, biochemical and phenological characteristics of plants-determine how plants respond to environmental factors, affect other trophic levels, and influence ecosystem properties and their benefits and detriments to people. Plant trait data thus represent the basis for a vast area of research spanning from evolutionary biology, community and functional ecology, to biodiversity conservation, ecosystem and landscape management, restoration, biogeography and earth system modelling. Since its foundation in 2007, the TRY database of plant traits has grown continuously. It now provides unprecedented data coverage under an open access data policy and is the main plant trait database used by the research community worldwide. Increasingly, the TRY database also supports new frontiers of trait-based plant research, including the identification of data gaps and the subsequent mobilization or measurement of new data. To support this development, in this article we evaluate the extent of the trait data compiled in TRY and analyse emerging patterns of data coverage and representativeness. Best species coverage is achieved for categorical traits-almost complete coverage for 'plant growth form'. However, most traits relevant for ecology and vegetation modelling are characterized by continuous intraspecific variation and trait-environmental relationships. These traits have to be measured on individual plants in their respective environment. Despite unprecedented data coverage, we observe a humbling lack of completeness and representativeness of these continuous traits in many aspects. We, therefore, conclude that reducing data gaps and biases in the TRY database remains a key challenge and requires a coordinated approach to data mobilization and trait measurements. This can only be achieved in collaboration with other initiatives

TRY plant trait database – enhanced coverage and open access

Plant traits—the morphological, anatomical, physiological, biochemical and phenological characteristics of plants—determine how plants respond to environmental factors, affect other trophic levels, and influence ecosystem properties and their benefits and detriments to people. Plant trait data thus represent the basis for a vast area of research spanning from evolutionary biology, community and functional ecology, to biodiversity conservation, ecosystem and landscape management, restoration, biogeography and earth system modelling. Since its foundation in 2007, the TRY database of plant traits has grown continuously. It now provides unprecedented data coverage under an open access data policy and is the main plant trait database used by the research community worldwide. Increasingly, the TRY database also supports new frontiers of trait‐based plant research, including the identification of data gaps and the subsequent mobilization or measurement of new data. To support this development, in this article we evaluate the extent of the trait data compiled in TRY and analyse emerging patterns of data coverage and representativeness. Best species coverage is achieved for categorical traits—almost complete coverage for ‘plant growth form’. However, most traits relevant for ecology and vegetation modelling are characterized by continuous intraspecific variation and trait–environmental relationships. These traits have to be measured on individual plants in their respective environment. Despite unprecedented data coverage, we observe a humbling lack of completeness and representativeness of these continuous traits in many aspects. We, therefore, conclude that reducing data gaps and biases in the TRY database remains a key challenge and requires a coordinated approach to data mobilization and trait measurements. This can only be achieved in collaboration with other initiatives

TRY plant trait database - enhanced coverage and open access

Plant traits—the morphological, anatomical, physiological, biochemical and phenological characteristics of plants—determine how plants respond to environmental factors, affect other trophic levels, and influence ecosystem properties and their benefits and detriments to people. Plant trait data thus represent the basis for a vast area of research spanning from evolutionary biology, community and functional ecology, to biodiversity conservation, ecosystem and landscape management, restoration, biogeography and earth system modelling. Since its foundation in 2007, the TRY database of plant traits has grown continuously. It now provides unprecedented data coverage under an open access data policy and is the main plant trait database used by the research community worldwide. Increasingly, the TRY database also supports new frontiers of trait‐based plant research, including the identification of data gaps and the subsequent mobilization or measurement of new data. To support this development, in this article we evaluate the extent of the trait data compiled in TRY and analyse emerging patterns of data coverage and representativeness. Best species coverage is achieved for categorical traits—almost complete coverage for ‘plant growth form’. However, most traits relevant for ecology and vegetation modelling are characterized by continuous intraspecific variation and trait–environmental relationships. These traits have to be measured on individual plants in their respective environment. Despite unprecedented data coverage, we observe a humbling lack of completeness and representativeness of these continuous traits in many aspects. We, therefore, conclude that reducing data gaps and biases in the TRY database remains a key challenge and requires a coordinated approach to data mobilization and trait measurements. This can only be achieved in collaboration with other initiatives

TRY plant trait database - enhanced coverage and open access

This article has 730 authors, of which I have only listed the lead author and myself as a representative of University of HelsinkiPlant traits-the morphological, anatomical, physiological, biochemical and phenological characteristics of plants-determine how plants respond to environmental factors, affect other trophic levels, and influence ecosystem properties and their benefits and detriments to people. Plant trait data thus represent the basis for a vast area of research spanning from evolutionary biology, community and functional ecology, to biodiversity conservation, ecosystem and landscape management, restoration, biogeography and earth system modelling. Since its foundation in 2007, the TRY database of plant traits has grown continuously. It now provides unprecedented data coverage under an open access data policy and is the main plant trait database used by the research community worldwide. Increasingly, the TRY database also supports new frontiers of trait-based plant research, including the identification of data gaps and the subsequent mobilization or measurement of new data. To support this development, in this article we evaluate the extent of the trait data compiled in TRY and analyse emerging patterns of data coverage and representativeness. Best species coverage is achieved for categorical traits-almost complete coverage for 'plant growth form'. However, most traits relevant for ecology and vegetation modelling are characterized by continuous intraspecific variation and trait-environmental relationships. These traits have to be measured on individual plants in their respective environment. Despite unprecedented data coverage, we observe a humbling lack of completeness and representativeness of these continuous traits in many aspects. We, therefore, conclude that reducing data gaps and biases in the TRY database remains a key challenge and requires a coordinated approach to data mobilization and trait measurements. This can only be achieved in collaboration with other initiatives.Peer reviewe